DSS plugins let you extend the power of DSS with your own datasets, recipes, and processors!
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Interact with the Microsoft Azure Cognitive Services API's
Provides a recipe for extracting Named Entities from your text data.
Provides a recipe for computing numerical sentence representations (aka sentence embeddings).
Provides a recipe for doing automatic text summarization from your text data.
Get weather data by location in Dataiku DSS.
Import your records from an Airtable table.
Downloads the logs of your website hosted by OVH shared hosting. This enables you to analyze your web traffic, calculate some indicators like unique visitors, find the 404 errors, etc.
Export datasets to Tableau with Hyper format.
Recipe to generates aggregated features on a dataset that contains events.
Automatically creates combined features and selects them with a genetic algorithm based on the DEAP framework.
Recipes to handle graphs and compute graph statistics.
A Jupyter notebook template for performing data analysis with MCMC simulations.
Detect location and class of several objects in images using deep learning.
Pre-template notebook for mathematical models of complex optimization applications.
Lists POI from Openstreetmap, and create an aggregated heatmap based on them.
Generate a relevant subset of Decision Rules based on a Random Forest.
Transcript speech to text with deep learning.
Provides a recipe to perform sentiment analysis on your text data.
Bulkloading DSS S3 Datasets to Snowflake
Reading data from Azure Data Lake Store (ADLS)
Exporting DSS Datasets to Microsoft Power BI (online)
Geocoding and reverse geocoding recipes. Supports over 20 online providers, with caching and batch options.
Deep learning with Keras on Tensorflow enabling classification, feature extraction and transfer learning for images.
Adds alternative map backgrounds from Mapbox to your charts.
Import your .sav data files into DSS using Dataiku's SPSS format reader.
Preparation processors for checking whether IP addresses belong to specific network ranges.
Import your LIBSVM data files into DSS.
Import your .sas7bdat data files into DSS using this SAS format reader provided by Pandas.
Connect with Salesforce data using the Force.com REST API, which lets you import data from the different services.
Retrieve US Census block ID from lat/lon coordinates.
Enrich Dataiku datasets with hundred of socio-demographics variables provided by the US Census bureau.
Provides a custom connector to read/write data from/to a Google spreadsheet.
Pulls data about accounts and media from the public Instagram API.
Geocode and enrich data using ESRI Arcgis Online. Uses a large set of data collections from 120 countries.
Export datasets to Tableau.
Provides a dataset to read and write from Algolia Search indexes' data.
Downloads scrapped web data from import.io. This plugin can perform bulk-enrich and connectivity to multiple components.
Contains several tools that will turn DSS into an efficient machine to manage your Twitter account. Get information from your followers, follow, unfollow and much more.
Provides a recipe to fetch artist tracks info from Musixmatch.
Provides several datasets to fetch information from Pipedrive CRM (deals, organizations, people).
Test and validate the email addresses you have in your datasets.
Provides a dataset to read tickets from the Freshdesk support tool and help you improve customer satisfaction.
Provides facilities for reverse geocoding (ie, computing an address from geo coordinates) and for 'Administrative' maps.
Enrich datasets with data about movies (ratings, runlength, IMDb id...) from the Open Movie Database and The Movie DB.
Send mails to a list of people stored in a dataset.
Provides a recipe to audit and produce a report about the data in a dataset (SQL or HDFS).
Provides a dataset to retrieve chat histories from Hipchat chat rooms.
Provides a dataset to retrieve US Patents.
Provides a preparation processor to obfuscate/anonymize data.
Provides a dataset to retrieve free ebooks from Project Gutenberg.
Provides a dataset to retrieve issues from a Github repository and analyze them.
Facilities for geocoding zipcodes (ie, transform a zipcode+country to a lat/lon couple). Provides around 1 million zipcodes.